Associate Director, DevOps & Quality Assurance

• Strategy & Leadership: Design and implement a multi-year strategy to automate and optimize IT operations using AI/ML-driven solutions, predictive analytics, and self-healing systems. Drive the cultural change towards a proactive, autonomous operations model and continuous delivery mindset. Evangelize and implement modern SRE practices across engineering teams.

• Devops Implementation: Lead the organizational cultural transformation towards engineering-driven practices and DevOps excellence

• AIOps Implementation: Lead the development and deployment of AIOps platforms to proactively identify and resolve issues, reduce alert fatigue, and improve infrastructure and application observability and performance.

• Process Transformation: Spearhead initiatives to eliminate traditional operations bottlenecks, automate manual processes, and establish new standards for operational efficiency and system reliability.

• Team Collaboration: Foster a collaborative and integrated environment across product engineering, DevOps, and Site Reliability Engineering (SRE) teams to ensure shared ownership and accountability for the full application lifecycle.

• Platform Modernization: Guide the evolution of our CI/CD pipelines, container orchestration on Kubernetes, and cloud-native infrastructure to support autonomous and proactive operations.

• Cultural Change: Act as a change agent within the organization, articulating the vision for an engineering-driven culture and using excellent communication and negotiation skills to build consensus and drive adoption of new methodologies.

• Hands-on Contribution: Remain deeply hands-on with the technology stack, actively contributing to architectural design, code reviews, and key technical decisions to ensure a seamless bridge between innovation and execution.

WHAT YOU SHOULD HAVE:

• Degree from a recognized University in Information Technology, Computer Science, Computer Engineering.

• Certifications in AIOps, DevOps, AWS/Azure/GCP, ITIL, or related fields are a plus. GenAI certifications (e.g., NVIDIA, Google, Databricks) is highly desirable.

• A minimum of 10-15 years of deep DevOps & SRE Experience: Extensive, hands-on experience in DevOps and SRE principles, including CI/CD pipeline automation, infrastructure-as-code, and observability.

• AI/ML for Operations: Proven experience in designing or implementing AI/ML-driven solutions for IT operations, covering both infrastructure and application observability, such as log analysis, anomaly detection, and predictive maintenance.

• Modern Technology Stack: Strong practical experience with technologies:

  • Languages: Java, NodeJs, Python

  • Front-end: ReactJs

  • Containerization & Orchestration: Docker and Kubernetes

  • CI/CD: GitHub Actions, Bamboo, or similar tools

  • Infrastructure as Code & Observability Tools: Terraform, CloudFormation, ELK, Dynatrace, Prometheus, Grafana, Datadog etc.

  • Proficiency in scripting (Python, PowerShell)

• Cloud-Native Architecture: Expertise in designing and managing cloud-native systems, microservices architectures, and distributed systems.

• Experience with microservices architecture and API management.

• Knowledge of security best practices and DevSecOps implementations.

• Ensure automated systems are complied with security, governance, and regulatory standards.

• Proven track record of successfully implementing AIOps/NoOps strategies in large-scale enterprises, preferably in highly regulated industries such as financial insurance.

• Requires in-depth experience, knowledge and skills in own discipline.

• Uses best practices and knowledge of internal/external business issues to improve products or services.

• Ability to work in high-pressure environment, troubleshoot complex issues across on-prem and cloud quickly, and successfully handle multiple priorities.

• Have systematic problem-solving approach, effective communications skills and have sense of ownership and drive.

• Works independently with minimal guidance.

• Manage resource and ability to perform capacity planning.

• Applies best practices and knowledge of internal/external business issues to improve products or services in own discipline.

• Solves moderately complex problems takes a new perspective on existing solutions.

• Interprets customer needs, assesses requirements and identifies solutions to non-standard requests.

• Explains information and persuades others in straightforward situations.

• Makes decisions for own work priorities and allocation of time to meet deadlines.

• Is accountable for technical contribution to project team or sub-team.

• Builds awareness of costs related to own work.